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Table 2 Association between GRS and incidence of dyslipidaemia

From: Genetic factors increase the identification efficiency of predictive models for dyslipidaemia: a prospective cohort study

  Subjects Crude HRs (95%CI) Adjusted HRs (95%CI)
Total population
 Q1 900 1.00 (reference) 1.00 (reference)
 Q2 898 1.110 (0.958, 1.287) 1.043 (0.900, 1.210)
 Q3 900 1.244 (1.077, 1.437) 1.188 (1.028, 1.374)
 Q4 898 1.276 (1.111, 1.466) 1.229 (1.069, 1.412)
Continuous GRS 3596 1.366 (1.187, 1.572) 1.353 (1.172, 1.561)
P for trend   < 0.001 0.001
Training set
 Q1 633 1.00 (reference) 1.00 (reference)
 Q2 638 0.996 (0.834, 1.188) 1.023 (0.855, 1.223)
 Q3 624 1.182 (0.995, 1.404) 1.166 (0.979, 1.388)
 Q4 622 1.207 (1.023, 1.424) 1.213 (1.028, 1.433)
Continuous GRS 2517 1.337 (1.129, 1.584) 1.318 (1.110, 1.565)
P for trend   0.006 0.008
Testing set
 Q1 267 1.00 (reference) 1.00 (reference)
 Q2 260 1.456 (1.112, 1.907) 1.081 (0.820, 1.425)
 Q3 276 1.405 (1.080, 1.827) 1.225 (0.940, 1.596)
 Q4 276 1.454 (1.129, 1.874) 1.273 (0.986, 1.643)
Continuous GRS 1079 1.432 (1.113, 1.843) 1.466 (1.127, 1.907)
P for trend   0.009 0.040
  1. Note: GRS is divided into four groups. Q1, Q2, Q3, Q4 represent the first, second, third, fourth quartile of GRS, respectively. Adjusted HRs adjust for the following covariates: age, family history of diabetes, physical activity, BMI, TG, HDL-C, LDL-C
  2. Abbrevations: HR hazard ratio, GRS genetic risk score
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